A hybrid neural network-based behavioral model of microwave active components

In this work, the development, implementation and verification of a novel behavioral model for microwave active components is presented. The application of neural networks to microwave device modeling has been demonstrated to be very useful. In order to model an active component such a packaged amplifier, it is necessary to produce models of the active components as well as the passive elements of the module. This is typically a lengthy, specialized process. The authors demonstrate a simplified process of developing models for discrete transistors and packaged amplifiers using common device measurements, and integrating neural network techniques within the behavioral modeling process.